Estimating the significance of a signal in a multi-dimensional search

Astronomy and Astrophysics – Astrophysics – Instrumentation and Methods for Astrophysics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

In experiments that are aimed at detecting astrophysical sources such as neutrino telescopes, one usually performs a search over a continuous parameter space (e.g. the angular coordinates of the sky, and possibly time), looking for the most significant deviation from the background hypothesis. Such a procedure inherently involves a "look elsewhere effect", namely, the possibility for a signal-like fluctuation to appear anywhere within the search range. Correctly estimating the $p$-value of a given observation thus requires repeated simulations of the entire search, a procedure that may be prohibitively expansive in terms of CPU resources. Recent results from the theory of random fields provide powerful tools which may be used to alleviate this difficulty, in a wide range of applications. We review those results and discuss their implementation, with a detailed example applied for neutrino point source analysis in the IceCube experiment.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Estimating the significance of a signal in a multi-dimensional search does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Estimating the significance of a signal in a multi-dimensional search, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Estimating the significance of a signal in a multi-dimensional search will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-330351

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.